Evolution of Implicit and Explicit Communication in Mobile Robots

@inproceedings{Greeff2010EvolutionOI,
  title={Evolution of Implicit and Explicit Communication in Mobile Robots},
  author={Joachim de Greeff and Stefano Nolfi},
  booktitle={Evolution of Communication and Language in Embodied Agents},
  year={2010}
}
This work investigates the conditions in which a population of embodied agents evolved for the ability to display coordinated/cooperative skills can develop an ability to communicate, whether and to what extent the evolved communication system can complexify during the course of the evolutionary process, and how the characteristics of such communication system varies evolutionarily. The analysis of the obtained results indicates that evolving robots develop a capacity to access/generate… 
View via Publisher
laral.istc.cnr.it
30 Citations
Highly Influential Citations
1
Background Citations
13
Methods Citations
2

30 Citations

Towards a Statistical Analysis of Emergent Communication in Evolved Virtual Agents
TLDR
Taking a specific evolved agent and developing information-theoretic measures and demonstrating the utility of these measures in providing evidence for the presence of a producer bias is demonstrated and it is concluded that while this approach appears promising there is still work to do to create a more generic analysis.
Simulation tools for the study of the interaction between communication and action in cognitive robots
TLDR
A series of experiments that involve simulated humanoid robots that acquire their behavioural and language skills autonomously through a trial-and-error adaptive process in which random variations of the free parameters of the robots’ controller are retained or discarded on the basis of their effect on the overall behaviour exhibited by the robot in interaction with the environment.
The development of a robust symbolic communication system for robots via embodied iterated imitation
TLDR
This research introduces multiple cycles of iterated imitation during which the symbols of the language evolve and adapt to the uncertainties in robots’ sensors and actuators and proposes as a model that explains how structural syntax emerges and evolves in a symbolic communication system.
Language Evolution in Swarm Robotics: A Perspective
TLDR
It is suggested that swarm robotics can be an ideal test-bed to advance research on the emergence of language-like communication, and the latter can be key to provide robot swarms with additional skills to support self-organization and adaptivity, enabling the design of more complex collective behaviors.
Evolution of Situated and Abstract Communication in Leader Selection and Borderline Identification Swarm Robotics Problems
TLDR
This paper analyzes how an identical continuous-time recurrent neural network (CTRNN) controller can lead to the emergence of different kinds of communications within the swarm, either abstract or situated, depending on the problem to be faced.
Evolving goal-driven multi-agent communication: what, when, and to whom
TLDR
Results show that the system’s performance can be highly tuned by controlling communication, and that the presented approach has significant utilization in improving the performance with respect to the goal.
Evolving a Follower in the Presence of a Potential Leader
TLDR
Results show that the controllers evolved in the presence of a potential leader exhibited following behaviors when there was an evolutionary advantage and did not incur a fitness penalty when doing so, and agents that followed a leader agent were able to achieve higher fitness than agents acting alone in comparable situations.
Evolving collective control , cooperation and distributed cognition
TLDR
This chapter discusses the problem of synthesising distributed controllers for a group of robots by using evolutionary techniques, and presents in detail a simple approach, which proved particularly successful for the synthesis of self-organising behaviours.
Adaptive behaviour in evolving robots
TLDR
Analysis of robots’ behaviours helped to clarify that the evolution of this type of behaviour depended on the characteristics of the neural network controllers and the robot’s sensorimotor capacities, that in turn defined the capacity of the robot to generate opportunity for actions, which in psychological literature is often called affordances.
A signal-centric perspective on the evolution of symbolic communication
TLDR
This work uses a simple synthetic model composed of sender and receiver agents controlled by Continuous-Time Recurrent Neural Networks, which is optimized by means of neuro-evolution to characterize signal decoding as either regression or classification, with limited and unlimited signal amplitude.
...
...

References

SHOWING 1-10 OF 32 REFERENCES
Emergence of communication in embodied agents evolved for the ability to solve a collective navigation problem
TLDR
How evolving robots develop a non-trivial communication system and exploit different communication modalities and the possibility of co-adapting the robots’ individual and social/communicative behaviour plays a key role in the development of progressively more complex and effective individuals is indicated.
Experiments in Learning by Imitation - Grounding and Use of Communication in Robotic Agents
TLDR
A simple movement imitation strategy is an interesting scenario for the transmission of a language, as it is an easy means of getting the agents to share a common context of perceptions, which is a prerequisites for a common understanding of the language to develop.
Evolving robots able to integrate sensory-motor information over time
TLDR
The analysis of evolved individuals revealed that individuals able to integrate information over time rely on mixed strategy in which basic sensory-motor mechanisms are complemented and enhanced with additional internal mechanisms.
Evolution of Communication
TLDR
The two paradigms of communication are introduced, seen to be the extreme poles on a continuum, and it is concluded that traditional SP approaches are based on an ill-formed approach to communication.
The Dynamics of Active Categorical Perception in an Evolved Model Agent
TLDR
A model agent whose "nervous system" was evolved using a genetic algorithm to catch circular objects and to avoid diamond-shaped ones is studied to illustrate how the perspective and tools of dynamical systems theory can be applied to the analysis of situated, embodied agents capable of minimally cognitive behavior.
Evolving Mobile Robots Able to Display Collective Behaviors
TLDR
The results presented in the article demonstrate that evolutionary techniques, by exploiting the self-organizing behavioral properties that emerge from the interactions between the robots and between the Robots and the environment, are a powerful method for synthesizing collective behavior.
Self-organisation and communication in groups of simulated and physical robots
TLDR
This work presents an experimental study of self-organising behaviours for a group of robots, which exploit communication to coordinate their activities, suggesting that artificial evolution can produce behaviours that are more adaptive than those obtained with conventional design methodologies.
The Emergence of a 'Language' in an Evolving Population of Neural Networks
TLDR
Simulation of populations of neural networks living in an environment evolve a simple language with an informative function that evolves as a byproduct of the independently evolving perceptual ability to categorize mushrooms.
An Investigation into the Evolution of Communication
TLDR
A theoretical criticism of current approaches to the study of the evolution of communication, and two very common preconceptions about the subject are analyzed: the role of natural selection in the definition of the phenomenon of communication and the metaphor of communication as information exchange.
Evolving Communication without Dedicated Communication Channels
  • M. Quinn
  • Computer Science, Biology
    ECAL
  • 2001
TLDR
It is argued that functional, but non-communicative behaviours which evolve in the early stages of the simulation both make possible, and form the basis of, the communicative behaviour which subsequently evolves.
...
...